package net.csdn.business.common.redis;

import net.csdn.business.common.constant.RedisConstants;
import org.springframework.data.redis.core.*;
import org.springframework.util.CollectionUtils;
import org.springframework.util.ObjectUtils;

import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;

/**
 * spring redis 工具类
 *
 * @author likun
 **/
@SuppressWarnings(value = {"unchecked", "rawtypes"})
public class RedisCache {
    private final RedisTemplate redisTemplate;

    private final String keyPrefix;

    public RedisCache(RedisTemplate redisTemplate, String keyPrefix) {
        this.redisTemplate = redisTemplate;
        this.keyPrefix = keyPrefix;
    }

    /**
     * 缓存基本的对象，Integer、String、实体类等
     *
     * @param key   缓存的键值
     * @param value 缓存的值
     */
    public <T> void setCacheObject(final String key, final T value) {
        redisTemplate.opsForValue().set(key, value);
    }

    /**
     * 缓存基本的对象，Integer、String、实体类等
     *
     * @param key      缓存的键值
     * @param value    缓存的值
     * @param timeout  时间
     * @param timeUnit 时间颗粒度
     */
    public <T> void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit) {
        redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
    }

    /**
     * 设置有效时间
     *
     * @param key     Redis键
     * @param timeout 超时时间
     * @return true=设置成功；false=设置失败
     */
    public boolean expire(final String key, final long timeout) {
        return expire(key, timeout, TimeUnit.SECONDS);
    }

    /**
     * 设置有效时间
     *
     * @param key     Redis键
     * @param timeout 超时时间
     * @param unit    时间单位
     * @return true=设置成功；false=设置失败
     */
    public boolean expire(final String key, final long timeout, final TimeUnit unit) {
        return redisTemplate.expire(key, timeout, unit);
    }

    /**
     * 获得缓存的基本对象。
     *
     * @param key 缓存键值
     * @return 缓存键值对应的数据
     */
    public <T> T getCacheObject(final String key) {
        ValueOperations<String, T> operation = redisTemplate.opsForValue();
        return operation.get(key);
    }

    /**
     * 判断某个keys是否存在
     *
     * @param key
     */
    public boolean hasKey(final String key) {
        return redisTemplate.hasKey(key);
    }

    /**
     * 删除单个对象
     *
     * @param key
     */
    public boolean deleteObject(final String key) {
        return redisTemplate.delete(key);
    }

    /**
     * 删除集合对象
     *
     * @param collection 多个对象
     * @return
     */
    public long deleteObject(final Collection collection) {
        return redisTemplate.delete(collection);
    }

    /**
     * 缓存List数据
     *
     * @param key      缓存的键值
     * @param dataList 待缓存的List数据
     * @return 缓存的对象
     */
    public <T> long setCacheList(final String key, final List<T> dataList) {
        Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
        return count == null ? 0 : count;
    }

    /**
     * 获得缓存的list对象
     *
     * @param key 缓存的键值
     * @return 缓存键值对应的数据
     */
    public <T> List<T> getCacheList(final String key) {
        return redisTemplate.opsForList().range(key, 0, -1);
    }

    /**
     * 缓存Set
     *
     * @param key     缓存键值
     * @param dataSet 缓存的数据
     * @return 缓存数据的对象
     */
    public <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet) {
        BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
        for (T t : dataSet) {
            setOperation.add(t);
        }
        return setOperation;
    }

    /**
     * 获得缓存的set
     *
     * @param key
     * @return
     */
    public <T> Set<T> getCacheSet(final String key) {
        return redisTemplate.opsForSet().members(key);
    }

    /**
     * 缓存Map
     *
     * @param key
     * @param dataMap
     */
    public <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
        if (dataMap != null) {
            redisTemplate.opsForHash().putAll(key, dataMap);
        }
    }

    /**
     * 获得缓存的Map
     *
     * @param key
     * @return
     */
    public <T> Map<String, T> getCacheMap(final String key) {
        return redisTemplate.opsForHash().entries(key);
    }

    /**
     * 往Hash中存入数据
     *
     * @param key   Redis键
     * @param hKey  Hash键
     * @param value 值
     */
    public <T> void setCacheMapValue(final String key, final String hKey, final T value) {
        redisTemplate.opsForHash().put(key, hKey, value);
    }

    /**
     * 获取Hash中的数据
     *
     * @param key  Redis键
     * @param hKey Hash键
     * @return Hash中的对象
     */
    public <T> T getCacheMapValue(final String key, final String hKey) {
        HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
        return opsForHash.get(key, hKey);
    }

    /**
     * 删除Hash中的数据
     *
     * @param key
     * @param hKey
     */
    public void delCacheMapValue(final String key, final String hKey) {
        HashOperations hashOperations = redisTemplate.opsForHash();
        hashOperations.delete(key, hKey);
    }

    /**
     * 获取多个Hash中的数据
     *
     * @param key   Redis键
     * @param hKeys Hash键集合
     * @return Hash对象集合
     */
    public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys) {
        return redisTemplate.opsForHash().multiGet(key, hKeys);
    }

    /**
     * 获得缓存的基本对象列表
     *
     * @param pattern 字符串前缀
     * @return 对象列表
     */
    public Collection<String> keys(final String pattern) {
        return redisTemplate.keys(pattern);
    }

    /********** list ***********/
    public void lPush(String key, String value) {
        // redisTemplate.opsForList().leftPush(key, value);
        redisTemplate.execute((RedisCallback<Long>) connect -> connect.lPush(key.getBytes(), value.getBytes()), true);
    }

    public void lPushBatch(String key, List<String> values) {
        if (CollectionUtils.isEmpty(values)) {
            return;
        }
        redisTemplate.execute(connection -> {
            connection.openPipeline();
            values.forEach(v -> connection.lPush(key.getBytes(), v.getBytes()));
            connection.closePipeline();
            return 1;
        }, true);
    }

    public void rPush(String key, String value) {
        redisTemplate.opsForList().rightPush(key, value);
    }

    public Object lPop(String key) {
        return redisTemplate.opsForList().leftPop(key);
    }

    public String rPop(String key) {
        return (String) redisTemplate.execute((RedisCallback<String>) connection -> {
            byte[] bytes = connection.rPop(key.getBytes());
            if (ObjectUtils.isEmpty(bytes)) {
                return null;
            }
            return new String(bytes);
        }, true);
    }

    public Object lPop(String key, final long time, final TimeUnit timeUnit) {
        return redisTemplate.opsForList().leftPop(key, time, timeUnit);
    }

    public Object rPop(String key, final long time, final TimeUnit timeUnit) {
        return redisTemplate.opsForList().rightPop(key, time, timeUnit);
    }

    public String getKey(String preKey) {
        return keyPrefix + RedisConstants.SEP + preKey;
    }

    public String getKey(String preKey, String... params) {
        // return concatKey(keyPrefix + RedisConstants.SEP + preKey, RedisConstants.UNDERLINE, params);
        return getJunctionKey(keyPrefix + RedisConstants.SEP + preKey, RedisConstants.UNDERLINE, params);
    }

    public String getJunctionKey(String preKey, String junction, String... params) {
        return concatKey(keyPrefix + RedisConstants.SEP + preKey, junction, params);
    }

    private String concatKey(String preKey, String junction, String[] params) {
        StringBuilder key = new StringBuilder();
        key.append(preKey).append(RedisConstants.SEP);
        for (int i = 0; i < params.length; i++) {
            String param = params[i];
            key.append(param);
            if (i < params.length - 1) {
                key.append(junction);
            }
        }
        return key.toString();
    }

    public Double incrementScore(String key, String value, double score){
       return redisTemplate.opsForZSet().incrementScore(key,value,score);
    }

    public Long unionAndStore(String key, List<String> otherKeys, String destKey){
        return redisTemplate.opsForZSet().unionAndStore(key,otherKeys,destKey);
    }

    public Long removeZset(String key, String value){
        return redisTemplate.opsForZSet().remove(key,value);
    }

   /**
    * @Author zhangyl
    * @Description 获取排行榜
    * @Date 16:23 2024/2/29
    * @Param
    * @return
    **/
    public Set<ZSetOperations.TypedTuple<String>> getRank(String key, int start, int end){
        return  redisTemplate.opsForZSet().reverseRangeWithScores(key, start, end);
    }

    /**
     * zset获取分数
     * @param key
     * @param id
     * @return
     */
    public Double getRankScore(String key, String id){
        ZSetOperations<String, String> zSetOperations = redisTemplate.opsForZSet();
        Double score = zSetOperations.score(key, id);
        if (score == null) {
            score=0D;
        }
        return score;
    }

    /**
     * zset获取排名
     * @param key
     * @param id
     * @return
     */
    public Long getRankSort(String key, String id){
        ZSetOperations<String, String> zSetOperations = redisTemplate.opsForZSet();
        Long reverseRank = zSetOperations.reverseRank(key, id);
        if (reverseRank == null) {
            //-1代表暂无排序
            reverseRank=-1L;
        }else{
            //zset排序从0开始，需要加1
            reverseRank+=1;
        }
       return  reverseRank;
    }
}